Evolutionary combinatorial optimization for recursive supervised learning with clustering
The idea of using a team of weak learners to learn a dataset is a successful one in literature. In this paper, we explore a recursive incremental approach to ensemble learning. In this paper, patterns are clustered according to the output space of the problem, i.e., natural clusters are formed based...
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| Main Authors: | , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2007
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/7395 https://ink.library.smu.edu.sg/context/sis_research/article/8398/viewcontent/1021.pdf |
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